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AuthorAdam, Kalthoum
AuthorAl-Maadeed, Somaya
AuthorAkbari, Younes
Available date2023-02-23T09:13:04Z
Publication Date2022
Publication NameJournal of Imaging
ResourceScopus
URIhttp://dx.doi.org/10.3390/jimaging8030060
URIhttp://hdl.handle.net/10576/40330
AbstractAutomatic dating tools for historical documents can greatly assist paleographers and save them time and effort. This paper describes a novel method for estimating the date of historical Arabic documents that employs hierarchical fusions of multiple features. A set of traditional features and features extracted by a residual network (ResNet) are fused in a hierarchical approach using joint sparse representation. To address noise during the fusion process, a new approach based on subsets of multiple features is being considered. Following that, supervised and unsupervised classifiers are used for classification. We show that using hierarchical fusion based on subsets of multiple features in the KERTAS dataset can produce promising results and significantly improve the results.
SponsorFunding: This research was funded by NPRP grant number NPRP7-442-1-082 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherMDPI
SubjectDeep features
Handwriting style-based features
Hierarchical fusion
Historical Arabic manuscript dating
Sparse representation-based features
TitleHierarchical Fusion Using Subsets of Multi-Features for Historical Arabic Manuscript Dating
TypeArticle
Pagination-
Issue Number3
Volume Number8
dc.accessType Open Access


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